AI Concept

Notions

There are other notions that are important to understand in relation with AI technologies.

Large Language Model (LLM)

A Large Language Model (LLM) is the engine behind an AI application such as ChatGPT. In this case, the engine powering ChatGPT is GPT-4 (or GPT-4o, previously), which is the LLM used by the application.

Azure AI Foundry is a service that allows you to choose which Large Language Model (LLM) you want to use.

Model Context Protocol (MCP)

A Model Context Protocol (MCP) is a protocol that standardizes communication between Large Language Models (LLMs) and external systems , such as ITSM tools (like ServiceNow), Kubernetes clusters, and more.

You can use an MCP client , for example, Continue.dev in your IDE (like VS Code) and then configure MCP servers, such as your Kubernetes cluster, to enable your LLM to interact with these systems.

Prompt Engineering

Prompt engineering is the practice of crafting clear, structured instructions to guide AI models toward producing optimal outputs. Based on my experience :

• Rule 1 : DON'T write too much text at once; if possible, break the work into sequences. Otherwise, use functions of the app.
• Rule 2 : DON'T ask the AI to write prompt engineering instructions for another AI, it creates an infinite loop and wastes time.
• Rule 3 : 🎯 Use emojis to clarify and sequence your prompt, helping the AI recognise when there's a new instruction.